Efecto de los ingresos permanentes sobre el delito: un enfoque espacial y un caso de aplicación

Urrego, Joaquín A.; Toro, Catalina Gómez; C., Hermilson Velásquez; Valderrama, Juan David

doi:10.1016/j.inveco.2016.11.004

Cited by 2 publications

(6 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…By including control variables in the model such as the urban population, a negative Rho is obtained, but it is not statistically significant, that is, there is no spatial dependence between the variables and there is no spatial dependence with other variables omitted in the model. The results are contrasted with those found by Urrego, Gómez Velásquez and Valderrama [71], where a negative spatial dependence of 0.05% is found between income inequality and the homicide rate, but a positive spatial dependence of 0.07 is found with variables that are not specified in the model.…”

Section: Discussion Of Resultscontrasting

confidence: 98%

“…Subsequently, the GDP per capita variable is added and a positive and statistically significant Rho is determined at 1%, which indicates that a country's homicide rate is 0.42% dependent on the inequality, urban population and GDP per capita of neighbouring countries. These results are in line with those found by Urrego et al [71]. According to the Durbin model, they determine that a change in income from work in community j directly affects the level of crime in community i, while in others models first the crime level of j is affected and later the crime level of community i is affected.…”

Section: Discussion Of Resultssupporting

confidence: 90%

See 1 more Smart Citation

Spatial Externalities of Income Inequality on Security in Latin America

et al. 2021

View full text Add to dashboard Cite

The aim of this research is to analyse the effect of income inequality on the homicide rate. The study is carried out in 18 Latin American countries for the period 2005–2018. The methodology used is the Generalized Least Squares (GLS) model and the data were obtained from World Development Indicators, the World Health Organization and the Inter-American Development Bank. Thus, the dependent variable is the homicide rate and the independent variable is income inequality. In addition, some control variables are included, such as: poverty, urban population rate, unemployment, schooling rate, spending on security and GDP per capita, which improve the consistency of the model. The results obtained through GLS model determine that inequality has a negative and significant effect on the homicide rate for high-income countries (HIC) and lower-middle-income countries (LMIC), whereas it is positive and significant for upper-middle-income countries (UMIC). On the other hand, the control variables show different results by group of countries. In the case of unemployment, it is not significant in any group of countries. Negative spatial dependence was found regarding spatial models such as: the spatial lag (SAR) and spatial error (SEM) method. In the spatial Durbin model (SDM), positive spatial dependence between the variables was corroborated. However, spatial auto-regressive moving average (SARMA) identified no spatial dependence. Under these results it is proposed: to improve productivity, education and improve the efficiency of security-oriented resources.

show abstract

Section: Discussion Of Resultscontrasting

confidence: 98%

Section: Discussion Of Resultssupporting

confidence: 90%

Spatial Externalities of Income Inequality on Security in Latin America

et al. 2021

View full text Add to dashboard Cite

show abstract

“…La relación espacial viene dada por la variable endógena rezagada y, por tanto, = 0 (Urrego et al, 2016).…”

Section: Modelos De Econometría Espacial Con Datos De Corte Transversalunclassified

“…En este modelo el rezago espacial es el término de error, por lo cual la relación espacial depende del "contagio" generado por los choques exógenos propagados entre las unidades vecinas. El modelo parte del supuesto = 0 (Urrego et al, 2016).…”

Section: Semunclassified

See 1 more Smart Citation

desempeño fiscal municipal y su influencia en el crecimiento económico de los municipios colombianos

Carvajal

López-Camargo

2020

Clío América

View full text Add to dashboard Cite

Este escrito midió, mediante modelos Econometría espacial con datos de corte transversal, la relación entre el Valor Agregado Municipal Per-cápita (VAMP) y El Índice de Desempeño Fiscal (IDF) en los municipios colombianos para el periodo 2011-2016. La metodología empleada inició probando la existencia de autocorrelación espacial mediante los estadísticos I de Moran y c de Geary; posteriormente, se estimaron modelos espaciales de relación sustantiva y residual. Los resultados obtenidos demostraron la existencia de autocorrelación espacial y la presencia de una relación positiva entre IDF y VAMP. Las principales conclusiones obtenidas indican que es necesario generar mecanismos que permitan mayor homogenización de la producción municipal mediante la liberalización del mercado y la desconcentración del poder de las entidades territoriales. También, es indispensable que los gobiernos municipales propendan por manejar niveles de gasto adecuados y austeros que no entorpezcan el crecimiento económico de su territorio. Las conclusiones mencionadas son útiles, como herramienta de información en la toma de decisiones, para hacedores de política económica a cualquier nivel territorial.

show abstract

Efecto de los ingresos permanentes sobre el delito: un enfoque espacial y un caso de aplicación

Cited by 2 publications

References 24 publications

Spatial Externalities of Income Inequality on Security in Latin America

Spatial Externalities of Income Inequality on Security in Latin America

desempeño fiscal municipal y su influencia en el crecimiento económico de los municipios colombianos

Contact Info

Product

Resources

About